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Turbine Rotor Disk Health Monitoring Assessment Based on Sensor Technology and Spin Tests Data

机译:基于传感器技术和自旋测试数据的涡轮转子盘健康监测评估

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摘要

The paper focuses on presenting data obtained from spin test experiments of a turbine engine like rotor disk and assessing their correlation to the development of a structural health monitoring and fault detection system. The data were obtained under various operating conditions such as the rotor disk being artificially induced with and without a notch and rotated at a rotational speed of up to 10,000 rpm under balanced and imbalanced state. The data collected included blade tip clearance, blade tip timing measurements, and shaft displacements. Two different sensor technologies were employed in the testing: microwave and capacitive sensors, respectively. The experimental tests were conducted at the NASA Glenn Research Center's Rotordynamics Laboratory using a high precision spin system. Disk flaw observations and related assessments from the collected data for both sensors are reported and discussed.
机译:本文着重介绍从涡轮发动机(例如转子盘)的旋转测试实验中获得的数据,并评估它们与结构健康监测和故障检测系统的开发之间的相关性。数据是在各种操作条件下获得的,例如在带有和不带有缺口的情况下通过人工感应转子盘,并在平衡和不平衡状态下以高达10,000 rpm的转速旋转。收集的数据包括叶尖间隙,叶尖正时测量值和轴位移。测试中采用了两种不同的传感器技术:分别是微波传感器和电容传感器。实验测试是在NASA格伦研究中心的转子动力学实验室使用高精度旋转系统进行的。报告并讨论了磁盘缺陷观察和从两个传感器的收集数据中得出的相关评估。

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